Summaries - Research
Back Using Efficient Design of Experiments to Explore the Army's Equipping Enterprise System
|Division||Graduate School of Operational & Information Sciences|
Sanchez, Susan M.
Johnson, Rachel T.
|Sponsor||Army Human Resources Command (Army)|
|Summary||The Army G-1 extensively uses computational models as part of its process of developing, managing, and executing personnel plans, programs and policies. These models tend to have a large number of inputs with potentially intricate interactions. Furthermore, these are sources of uncertainty associated with many of these inputs, e.g., future reenlistment rates and the elasticities of various bonus options. This project will leverage the benefits of using state-of-the-art experimental design techniques to investigate one or more G-1 models or sub-models. The objectives will include assessing sensitivities, identifying critical input data, quantifying interactions, and generating distributions of future possibilities. The SEED Center will team with the Army G-1 and, if possible, student-officers at NPS will use efficient high-dimensional design of experiments to investigate agreed upon models (and associated scenarios and data) in the Army's Personnel Management System.|
|Publications||Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal|
|Data||Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal|